docs[patch]: Revert quarto update (#19880)

docs/docs/integrations/document_transformers/cross_encoder_reranker.ipynb

@@ -9,7 +9,7 @@
     "\n",
     "This notebook shows how to implement reranker in a retriever with your own cross encoder from [Hugging Face cross encoder models](https://huggingface.co/cross-encoder) or Hugging Face models that implements cross encoder function ([example: BAAI/bge-reranker-base](https://huggingface.co/BAAI/bge-reranker-base)). `SagemakerEndpointCrossEncoder` enables you to use these HuggingFace models loaded on Sagemaker.\n",
     "\n",
-    "This builds on top of ideas in the [ContextualCompressionRetriever](/docs/modules/data_connection/retrievers/contextual_compression/). Overall structure of this document came from [Cohere Reranker documentation](/docs/integrations/retrievers/cohere-reranker.ipynb).\n",
+    "This builds on top of ideas in the [ContextualCompressionRetriever](/docs/modules/data_connection/retrievers/contextual_compression/). Overall structure of this document came from [Cohere Reranker documentation](/docs/integrations/retrievers/cohere-reranker).\n",
     "\n",
     "For more about why cross encoder can be used as reranking mechanism in conjunction with embeddings for better retrieval, refer to [Hugging Face Cross-Encoders documentation](https://www.sbert.net/examples/applications/cross-encoder/README.html)."
    ]

docs/vercel_build.sh

@@ -4,9 +4,9 @@ yum -y update
 yum install gcc bzip2-devel libffi-devel zlib-devel wget tar gzip -y
 
 # install quarto
-wget -q https://github.com/quarto-dev/quarto-cli/releases/download/v1.4.552/quarto-1.4.552-linux-amd64.tar.gz
-tar -xzf quarto-1.4.552-linux-amd64.tar.gz
-export PATH=$PATH:$(pwd)/quarto-1.4.552/bin/
+wget -q https://github.com/quarto-dev/quarto-cli/releases/download/v1.3.450/quarto-1.3.450-linux-amd64.tar.gz
+tar -xzf quarto-1.3.450-linux-amd64.tar.gz
+export PATH=$PATH:$(pwd)/quarto-1.3.450/bin/
 
 
 # setup python env